Commit Offshore

We’re running the software that runs the world – and we want you along for the ride. We are a special place with a unique combination of brilliance, spirit, and great people. Here, if you’re willing to do more, your career can take off. And since software plays a central role in everyone’s lives, you’ll be part of a critical mission. Thousands of customers, including the majority of Fortune 100 companies, trust us to manage, accelerate, and secure their software delivery from code to production – a concept we call “liquid software.” Wouldn't it be amazing if you could join us on our journey? 
In this role, you will work with a team of researchers and ethical hackers focused on offensive security testing, automated exploit discovery, and advanced application security research. Your work will directly influence the security posture of our products and help scale secure-by-design principles.
 

This is a hands-on technical role with a strong emphasis on offensive security, code exploitation, automation, and innovation.

Responsibilities:

• Help to reshape JFrog Product Security
• Plan and execute advanced penetration testing campaigns.
• Develop tools and frameworks for scalable security testing and fuzzing.
• Lead Security innovation by building and managing penetration testing tools \ AI Agents
• Analyze vulnerabilities, perform root cause analysis, and develop proofs of concept.
• Identify systemic product weaknesses and help define long-term mitigations.
• Collaborate with engineering teams to reproduce, triage, and fix vulnerabilities.
• Contribute to security research publications, CVE submissions, and industry knowledge sharing.
• Continuously evolve internal testing capabilities using modern tooling and AI-assisted approaches.

Requirements

• 5+ years of experience in Research and penetration testing.
• Strong coding skills and deep technical understanding of web, API, cloud-native, and backend technologies.
• AI and LLM Penetration testing knowledge and Experience
• Experience with penetration testing tools (Burp Suite, Metasploit, etc.) and custom security tool development.
• Familiarity with modern architectures (e.g., Cloud, microservices, containers, Kubernetes).
• Familiarity with secure software architecture and typical attack vectors.
• Demonstrated ability to lead security testing engagements and report technical findings effectively.
• Experience building or integrating automated PT or fuzzing pipelines is a strong advantage.
• Knowledge and hands-on experience with SSDLC tools and  CI/CD pipelines,
• Publications or open-source contributions in the security domain are a plus.

About the Position

We’re growing fast and looking for a Senior Backend Engineer to join our Engineering team and help build the infrastructure that powers our platform at scale.

This is a high-impact role where you’ll work alongside top-tier engineers, designing and building secure, high-performance systems in a fast-paced environment. If you enjoy solving complex technical challenges and want your work to have real impact — we’d love to meet you.

What We’re Looking For

• Bachelor’s degree in Computer Science or a related field
• 5+ years of experience in backend development
• Strong experience building scalable, production-grade systems
• Proficiency in Node.js
• Experience with SQL and NoSQL databases
• Familiarity with cloud platforms and microservices architecture
• Strong problem-solving skills and attention to detail
• Passion for writing clean, maintainable, and efficient code

Bonus Points For

• Experience in cybersecurity or building security-focused products
• Experience working in startup or high-growth environments
• Familiarity with DevSecOps / SDLC tools
• Experience with distributed systems and high-scale data processing

We are looking for an AI/ML Research Scientist.

Requirements:

• PhD with 1+ years of research experience in Electrical Engineering, Computer Science, Information Systems, or a STEM-related field
• 1+ years of experience with modern machine learning architectures including Transformers, Graph Neural Networks, and Diffusion models
• Strong coding skills in Python and C++
• Experience with machine learning frameworks like PyTorch
• At least 1 publication in top machine learning conferences (NeurIPS, ICML, ICLR, etc.)
• Experience with deep learning on graphs (general graphs, circuit graphs, molecular graphs, or trees)
• Familiarity with classical search and optimization techniques (Genetic Algorithms, Monte-Carlo Tree Search, Dijkstra's Algorithm, etc.)
• Experience with EDA tools, either commercial or open-source
• Publications in top-tier venues focusing on AI for chip design or AI for materials science. 

We are looking for a Mid Data Engineer in Kraków, Poland who will own the company data lake — the system of record for millions of financial events a day (bets, wallet movements, live odds) across 12M+ active users. You decide how that data lands, is stored, retained, and governed on S3 + Snowflake/Databricks, so analytics, finance, and regulators all see accurate, reconciled data with zero drift from source.

Domain: Regulated iGaming / wallet & ledger data. Audit-heavy: regulators, finance and analytics all consume the same tables. Millions of financial events per day, terabyte-plus scale.
 

What you'll be doing:

• Own the lakehouse architecture: bronze/silver/gold layers, Iceberg/Delta tables, schema evolution.
• Land operational data via CDC streaming (Kafka, Debezium), handling late and duplicate events.
• Design data layout for speed and cost: partitioning, compaction, file sizing, query performance on Trino/Athena/Snowflake.
• Own retention and archival: storage tiering, regulatory retention, immutability, GDPR deletion.
• Guarantee correctness: freshness SLAs, drift detection, reconciliation against the source wallet and ledger systems.
• Own governance: catalog and lineage, row/column access control, PII masking, encryption, audit trails.
• Monitor ingestion health, data anomalies, and cloud storage/compute spend.
  
  Must-have:
• 3 years' experience in hands-on delivery within that architecture — pipelines, ingestion, models, monitoring
• Lakehouse architecture — bronze/silver/gold layering, an open table format (Iceberg, Delta, or Hudi), schema evolution.
• Data layout & query optimization at TB+ scale — partitioning, compaction, file sizing, query performance on Trino/Athena/Snowflake.
• Cloud lakehouse/DWH in production — Snowflake, Databricks, or BigQuery.
• CDC & streaming ingestion — Kafka + Debezium or equivalent; late, duplicate and out-of-order events.
• Strong SQL and data modeling — enough relational grounding to reason about the OLTP systems you capture from. Critical for financial ledgers.
• Correctness — freshness SLAs, drift detection, reconciliation against source wallet/ledger systems.
• Governance — catalogs, lineage, row/column access control, PII masking, retention, GDPR deletion.
• Cloud object storage — S3 or GCS, plus storage tiering and archival.

• Python and an orchestrator — Airflow or Dagster, as tools.

   

  Location & work model:

• Kraków, Poland. Hybrid — 2 days per week from the office.

We are looking for an experienced Backend Developer (iGaming) with strong hands-on experience in Agentic AI, MCP, and advanced automation workflows.
 

Required Experience & Skills:

⁠ ⁠• Minimum 3 years of backend development experience.
•⁠ ⁠Strong hands-on experience with Agentic AI development.
•⁠ ⁠Strong understanding and practical experience with MCP.
•⁠ ⁠Experience with automation tools and workflow automation platforms like n8n.
•⁠ ⁠Experience working with AI tools such as Claude.
•⁠ ⁠Strong understanding of workflow automation, AI agents, and backend integrations.
•⁠ ⁠Experience with prompt engineering, prompt design, and prompt evaluation.

Nice to Have:

⁠• Experience working with AWS.
•⁠ ⁠Experience with CRM systems, customer lifecycle, retention analytics, or marketing automation platforms.
•⁠ ⁠Experience building production-grade AI automations or agent-based systems.

Key Responsibilities:

• Backend Development: Develop, optimize, and maintain robust backend applications using Python (Django is a plus).
• Microservices Architecture: Design and implement scalable, efficient microservices architectures to support business needs.
• Cloud Solutions: Leverage AWS services (e.g., ECS, EKS, Lambda, S3, RDS) to design, develop, and deploy cloud-based applications.
• Kubernetes Management: Work with Kubernetes (K8s) to deploy and manage containerized applications ensuring smooth and efficient operations.
• Performance & Reliability: Ensure backend systems maintain optimal performance, reliability, and security to meet business and customer requirements.
• Collaboration & Strategy: Work closely with cross-functional teams to define system architecture and drive technical strategies for product development.
• Troubleshooting & Optimization: Identify and troubleshoot complex issues, applying solutions to improve system efficiency and reduce downtime.

Requirements:

• Experience: 7+ years of professional experience in software development, with a strong focus on backend technologies.
• Technical Skills:
  • Proficiency in Python (Django experience is a bonus).
  • In-depth understanding of Kubernetes (K8s) for container orchestration and management.
  • Experience in developing and deploying cloud solutions using AWS services, including ECS, EKS, Lambda, S3, and RDS.
  • Strong background in microservices architecture and distributed systems.
• Database Knowledge: Experience working with both relational and NoSQL databases.
• Problem-Solving: Strong debugging skills and a deep understanding of performance optimization techniques.
• Team Player: Ability to collaborate effectively with other developers, product managers, and engineers to ensure the success of key projects.

Preferred Qualifications:

• Knowledge of continuous integration and continuous delivery (CI/CD) pipelines.
• Experience with containerization tools like Docker.
• Familiarity with DevOps principles and practices

Kraków, Poland. Hybrid — 2 days per week from the office.
Own Caliente's data lake — the system of record for millions of financial events a day (bets, wallet movements, live odds) across 12M+ active users. You decide how that data lands, is stored, retained, and governed on S3 + Snowflake/Databricks, so analytics, finance, and regulators all see accurate, reconciled data with zero drift from source.

Kraków, Poland. Hybrid — 2 days per week from the office. 

What you'll be doing

• Own the lakehouse architecture: bronze/silver/gold layers, Iceberg/Delta tables, schema evolution.
• Land operational data via CDC streaming (Kafka, Debezium), handling late and duplicate events.
• Design data layout for speed and cost: partitioning, compaction, file sizing, query performance on Trino/Athena/Snowflake.
• Own retention and archival: storage tiering, regulatory retention, immutability, GDPR deletion.
• Guarantee correctness: freshness SLAs, drift detection, reconciliation against the source wallet and ledger systems.
• Own governance: catalog and lineage, row/column access control, PII masking, encryption, audit trails.
• Monitor ingestion health, data anomalies, and cloud storage/compute spend.

Must-have

• Lakehouse architecture — bronze/silver/gold layering, an open table format (Iceberg, Delta, or Hudi), schema evolution.
• Data layout & query optimization at TB+ scale — partitioning, compaction, file sizing, query performance on Trino/Athena/Snowflake.
• Cloud lakehouse/DWH in production — Snowflake, Databricks, or BigQuery.
• CDC & streaming ingestion — Kafka + Debezium or equivalent; late, duplicate and out-of-order events.
• Strong SQL and data modeling — enough relational grounding to reason about the OLTP systems you capture from. Critical for financial ledgers.
• Correctness — freshness SLAs, drift detection, reconciliation against source wallet/ledger systems.
• Governance — catalogs, lineage, row/column access control, PII masking, retention, GDPR deletion.
• Cloud object storage — S3 or GCS, plus storage tiering and archival.
• Python and an orchestrator — Airflow or Dagster, as tools.

Nice to have

• Fintech, iGaming, or another regulated, audit-heavy environment.
• Cost monitoring / FinOps for storage and compute spend.
• Hudi specifically; Dagster specifically.
• Immutability / WORM regulatory retention.

Key responsibilities

• Own end-to-end solution architecture for data, analytics, and AI use cases, with accountability for design quality, security, scalability, supportability, and cost.
• Translate business needs into practical technical designs, target architectures, integration patterns, and delivery-ready implementation guidance.
• Lead by example through hands-on prototyping, architecture reviews, troubleshooting, code/design reviews, and technical support for delivery teams.
• Ensure security, governance, compliance, and operational readiness are built into solutions from design through production deployment.

Must have

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
• 10+ years of IT experience, including 5+ years in senior solution architecture roles for enterprise data, analytics, and AI platforms.
• 5+ years strong hands-on experience with Azure-based data platforms, including Azure Data Factory, Databricks, data lake architectures, SQL, and dimensional data modeling, with the ability to build practical end-to-end solution designs.
• Strong experience with enterprise security, governance, and compliance, and the ability to work effectively with enterprise architects and guiding or regulatory functions to ensure solutions meet organizational standards and control requirements.
• Enterprise AI enablement experience: designing solutions with Azure OpenAI and retrieval-augmented (RAG) patterns.
• BI/analytics architecture experience with Power BI or a similar enterprise BI technology.

Advantages

• Deep hands-on expertise in Power BI architecture, including semantic models, DAX, Power Query, workspace strategy, governance, performance optimization, and enterprise reporting patterns.
• Experience with Microsoft-first AI platforms and services such as Azure AI Foundry, Copilot Studio, Azure AI Search, Semantic Kernel, Prompt Flow, and enterprise AI governance patterns.
• Experience with Microsoft Fabric, Azure DevOps, GitHub Enterprise, and CI/CD for Data or AI solutions.
• Experience with Microsoft security and governance services such as Microsoft Entra, Purview, and Key Vault.
• Experience in life sciences, pharmaceuticals, or other regulated industries.
• Relevant Microsoft certifications in Azure, Power BI, data, or AI architecture.

Key skills

• Hands-on technical leadership with a clear lead-by-example mindset.
• Strong architecture judgment across data, analytics, AI, integration, security, and non-functional requirements.
• Proven ability to own solution architecture end to end: shape target designs, validate them through prototyping or proof of concept where needed, guide delivery teams through implementation, and provide technical oversight through design reviews and production readiness checks.
• Ability to translate business problems into practical, delivery-ready technical solutions.
• Strong troubleshooting, decision-making, estimation, and risk management capability.
• Comfort working across distributed teams and external suppliers in enterprise delivery environments.
• Excellent communication skills in English, with the ability to drive alignment across architects, delivery teams, business stakeholders, and enterprise control functions.

About the Role

We are looking for a Senior DevOps Engineer to join its in-house platform team (team of 5) as an embedded offshore engineer. You will own Kubernetes workloads on AWS, GitOps delivery with ArgoCD, CI/CD pipelines, and the observability stack — and treat internal dev teams as your customers. The role includes an on-call rotation.

Must-haves

• 5+ years hands-on DevOps experience in cloud-based environments, ideally in startups / scale-ups serving large enterprise customers.
• Kubernetes in production (EKS): workload management, networking, troubleshooting.
• ArgoCD / GitOps and CI/CD pipelines (e.g. GitHub Actions): build, maintain, extend and debug independently; able to walk through real CI/CD flows you designed.
• Observability: hands-on ELK stack (Elasticsearch, Logstash/Fluentd, Kibana) and Grafana — writing alerts, dashboards and runbooks. Datadog, Coralogix or Groundcover a plus.
• Terraform (IaC) in production.
• AWS: EKS, RDS, MSK, SQS/SNS, Lambda.
• Scripting in Python and Bash.

Nice-to-haves

• Kafka, MongoDB, Redis or SingleStore.
• Pulumi or Flux.
• Basic FinOps / cloud cost awareness.
• AI-driven approach: uses AI tooling day to day to reduce toil and automate work.

Soft skills

• High ownership end-to-end — not just until the PR is merged.
• Strong written and spoken English; active in async Slack discussions, writes clear technical summaries.
• Service mindset: internal developers are the customer; responds fast and follows through until resolved.
• Works independently with minimal hand-holding; flags blockers and risks early.

Role Overview:

We are looking for a Senior level Automation QA Engineer to join our team in Poland. The role will primarily focus on API testing (80%) with UI testing (20%). You will help design, enhance, and maintain automation frameworks, ensuring efficient and scalable testing.

Key Responsibilities:

Automation Framework & Strategy

• Contribute to designing and improving automation testing strategies.
• Develop and maintain automation frameworks for API, UI, and LLM validation.
• Ensure scalability, maintainability, and reusability of automation code.

Test Development & Execution

• API Testing: Develop automated API tests in Python using the Requests library.
• UI Testing: Create and maintain UI tests with Playwright.
• Integrate automated tests with Postman collections where applicable.
• Execute performance, regression, and functional tests.

Continuous Integration & Deployment

• Integrate automation tests into CI/CD pipelines (Jenkins preferred).
• Work with Docker and Kubernetes to manage and scale test environments.

Collaboration & Documentation

• Collaborate with developers, QA, and DevOps teams to improve the QA process.
• Write test plans, strategies, and design documents.
• Track issues using Jira and manage test cases (Xray optional).
• Analyze logs, investigate failures, and troubleshoot in staging and production.

Required Qualifications & Experience:

Must-Have:

• 3-5 years of experience in test automation or a related QA role.
• Strong programming skills in Python.
• Solid experience in API automation (Requests library) and UI automation (Playwright).
• Experience with CI/CD tools (Jenkins preferred).
• Experience with Docker & Kubernetes for test environments.
• Strong analytical, problem-solving, and debugging skills.
• Experience with Jira for tracking and reporting.
• Ability to work independently and proactively in a fast-paced environment.

Nice to Have:

• Experience with Kafka.
• Familiarity with Xray for test management.
• Knowledge of AWS cloud services.

Role Overview:

We are looking for a Senior-level Automation QA Engineer to join our team in Poland. The role will primarily focus on API testing (80%) with UI testing (20%). You will help design, enhance, and maintain automation frameworks, ensuring efficient and scalable testing.

Key Responsibilities:

Automation Framework & Strategy

• Contribute to designing and improving automation testing strategies.
• Develop and maintain automation frameworks for API, UI, and LLM validation.
• Ensure scalability, maintainability, and reusability of automation code.

Test Development & Execution

• API Testing: Develop automated API tests in Python using the Requests library.
• UI Testing: Create and maintain UI tests with Playwright.
• Integrate automated tests with Postman collections where applicable.
• Execute performance, regression, and functional tests.

Continuous Integration & Deployment

• Integrate automation tests into CI/CD pipelines (Jenkins preferred).
• Work with Docker and Kubernetes to manage and scale test environments.

Collaboration & Documentation

• Collaborate with developers, QA, and DevOps teams to improve the QA process.
• Write test plans, strategies, and design documents.
• Track issues using Jira and manage test cases (Xray optional).
• Analyze logs, investigate failures, and troubleshoot in staging and production.

Required Qualifications & Experience:

Must-Have:

• 3-5 years of experience in test automation or a related QA role.
• Strong programming skills in Python.
• Solid experience in API automation (Requests library) and UI automation (Playwright).
• Experience with CI/CD tools (Jenkins preferred).
• Experience with Docker & Kubernetes for test environments.
• Strong analytical, problem-solving, and debugging skills.
• Experience with Jira for tracking and reporting.
• Ability to work independently and proactively in a fast-paced environment.

Nice to Have:

• Experience with Kafka.
• Familiarity with Xray for test management.
• Knowledge of AWS cloud services.

We are looking for an AI/ML Research Scientist to join our team!

Responsibilities

• Conduct cutting-edge research in applying machine learning techniques to chip design and optimization problems
• Develop and implement algorithms using graph neural networks, diffusion models, and other advanced ML architectures
• Collaborate with cross-functional teams including engineers and researchers
• Publish research findings in top-tier conferences and journals
• Prototype and validate new approaches using modern ML frameworks
• Contribute to open-source or commercial EDA tools

Minimum Qualifications

• PhD with 1+ years of research experience in Electrical Engineering, Computer Science, Information Systems, or STEM-related field
• 1+ years of experience with modern machine learning architectures including Transformers, Graph Neural Networks, and Diffusion models
• Strong coding skills in Python and C++
• Experience with machine learning frameworks like PyTorch
• At least 1 publication in top machine learning conferences (NeurIPS, ICML, ICLR, etc.)

Preferred Qualifications

• Experience with deep learning on graphs (general graphs, circuit graphs, molecular graphs, or trees)
• Familiarity with classical search and optimization techniques (Genetic Algorithms, Monte-Carlo Tree Search, Dijkstra's Algorithm, etc.)
• Experience with EDA tools, either commercial or open-source
• Publications in top-tier venues focusing on AI for chip design or AI for materials science

We’re looking for a senior-level React engineer to own critical frontend experiences, collaborate closely with product/design.

What you’ll do

• Design, build, and ship high-performance, responsive web UIs
• Partner with product managers, designers, and analysts to translate user needs into elegant product experiences
• Plan and execute short- and long-term roadmaps balancing user impact, technical quality, and delivery speed

• Raise the bar through code reviews, mentoring, and improvements to our tooling and processes

   

Must-have expertise

• Next.js (our web app is built with Next.js)
• Monorepos using Yarn Workspaces or Nx
• Tailwind CSS (our primary design system)
   

Technical requirements

• 5+ years of professional software development experience
• 5+ years with React and its ecosystem (e.g., Redux, React Router)
• Strong proficiency in JavaScript (ES6/ES7) and TypeScript
• Deep knowledge of HTML/CSS, responsive design, and accessibility (a11y) best practices
• Hands-on with modern build tooling and package managers (Vite, esbuild, Yarn)
• Experience with server-side rendering and Next.js, plus working knowledge of Node.js
• Comfortable with Git workflows and agile methodologies
• 3+ years working with major cloud providers (AWS/GCP/Azure)
• Storybook
   

Nice to have

• Experience with monorepo release management and internal package versioning
• Familiarity with performance profiling, Web Vitals, and SEO in Next.js
• E2E testing (Playwright/Cypress) and CI/CD pipelines
• Experience in fintech or data-heavy, real-time UIs

Must-Have Requirements

• BSc in Electrical Engineering from a recognized university.
• Minimum 3 years of hands-on DFT experience — must. Senior-level profiles preferred.
• DFT methodologies: scan, ATPG, at-speed test, memory BIST, I/O DFT.
• Scan insertion and ATPG for stuck-at, transition-delay, bridging and IDDQ fault models; test-coverage improvement.
• DFT DRC analysis and coverage debug with Synopsys DFT Compiler / TestMAX (TetraMAX) / SpyGlass DFT or equivalent Siemens (Mentor) Tessent tools.
• Memory BIST — Tessent MBIST.
• Strong knowledge of JTAG IEEE 1149.1, IEEE 1149.6 and IEEE 1500 (formerly P1500).
• Hands-on design and implementation of DFT features.
• End-to-end DFT flow ownership: concept → tape-out → production.
• Gate-level simulation setup and runs (pattern validation).
• Formal equivalence checking.
• Perl / Tcl / UNIX scripting for flow automation.

Nice to Have

• Broader Siemens Tessent experience (ScanPro / TestKompress, LBIST) beyond MBIST.
• Advanced-node experience (7nm and below).
• Python for flow automation.

Job Summary

We are seeking a Senior DevOps Engineer to build and maintain the cloud infrastructure supporting our CI/CD pipelines and production services. You will work closely with software engineers, fellow DevOps engineers, and other team members to automate, scale, secure, and continuously improve our platform.

Key Responsibilities

• Design, build, and maintain scalable, highly available, and secure infrastructure.
• Automate CI/CD pipelines and manage deployments to staging and production environments.
• Work with Kubernetes, Docker, and Helm for container orchestration and management.
• Manage and implement Infrastructure-as-Code using Terraform and Terragrunt.
• Set up and maintain monitoring and logging systems such as Prometheus, Grafana, and ELK/OpenSearch.
• Collaborate across engineering teams to ensure platform reliability, performance, and scalability.
• Maintain system security and implement DevOps and cloud infrastructure best practices.

Requirements

• 6+ years of experience as a DevOps Engineer in a production environment.
• Strong Linux and networking fundamentals.
• Proven experience working with managed cloud services, preferably AWS or GCP.
• Strong proficiency with Docker, Kubernetes, and Helm.
• Hands-on experience with Infrastructure-as-Code tools, including Terraform and Terragrunt.
• Experience with CI/CD tools, preferably GitHub Actions and self-hosted runners.
• Solid shell scripting skills and basic experience with Python or Go.
• Familiarity with security principles and industry best practices.
• Strong communication skills and the ability to work independently.

Expectations

• Ownership: When identifying a problem, take an active role in driving it toward resolution or ensure it is clearly and appropriately handed over to the relevant owner.
• Accountability: Follow through on commitments, communicate progress clearly, and raise risks or blockers at an early stage.
• Thinking Beyond Tickets: Look beyond assigned tasks and continuously identify opportunities to improve reliability, security, automation, observability, and overall operational excellence.